Musical DNA Analysis
Purpose
Extract descriptive musical characteristics from any artist or band without using their name, building a vocabulary of sonic qualities for AI music generation, music description, or creative recombination. Replace "sounds like [Artist]" with specific, technique-focused descriptions.
Core Principle
How, not who. Describe techniques, approaches, and sonic qualities rather than referencing artists. This enables:
- Ethical AI music generation
- Precise communication about sound
- Creative recombination of elements
- Genre-independent vocabulary
Quick Reference: Six Dimensions
| Dimension |
What to Analyze |
| Rhythmic Foundation |
Drums, tempo, bass lines, time signatures |
| Harmonic Architecture |
Chords, modes, progressions, melodies |
| Instrumental Techniques |
Playing styles, effects, timbres |
| Production Aesthetics |
Recording feel, mix, spatial treatment |
| Genre Fusion |
Influence integration, innovation points |
| Energy Architecture |
Song structure, dynamics, emotional trajectory |
Analysis Process
Step 1: Select Representative Tracks
Choose 3-5 tracks that capture:
- Their most recognizable sound
- Range across their catalog
- Both typical and boundary-pushing examples
Step 2: Systematic Deconstruction
Work through each dimension, focusing on specific techniques and approaches.
Step 3: Extract Prompt-Ready Phrases
Convert observations into standalone descriptive phrases that work without artist context.
Dimension 1: Rhythmic Foundation
Drum Character
- Kit composition: Acoustic, electronic, hybrid, sampled
- Stick technique: Brushes, rods, mallets, standard sticks
- Snare approach: Rim shots, ghost notes, cross-stick, tight vs. ringy
- Kick pattern: Four-on-floor, syncopated, polyrhythmic, sparse
- Hi-hat work: Open/closed patterns, 16th note rides, swung
- Fill style: Busy, minimal, tom-heavy, snare rolls
Time & Tempo
- Time signatures: 4/4, 3/4, 6/8, odd meters (5/4, 7/8)
- Tempo range: Locked BPM or flexible? Fast, mid, slow?
- Subdivision emphasis: 8ths, 16ths, triplets, swung
- Polyrhythmic layering: Multiple meters happening simultaneously
Bass Line DNA
- Technique: Fingered, picked, slapped, synth, upright
- Role: Rhythmic anchor vs. melodic counterpoint
- Range: Sub-bass heavy, mid-focused, full range
- Kick relationship: Locked, complementary, independent
Example Phrases:
- "Driving 8th-note hi-hat over syncopated kick"
- "Slapped bass with muted ghost notes"
- "Swung triplet feel at 95 BPM"
Dimension 2: Harmonic Architecture
Chord Progressions
- Major/minor balance: Predominantly one or mixed?
- Modal inflections: Dorian darkness, Mixolydian brightness
- Chromatic movement: Smooth voice leading, sudden shifts
- Chord density: Triads, 7ths, extended (9ths, 11ths, 13ths)
- Harmonic rhythm: Slow changes (1/bar) or rapid (2+/bar)
Tonal Centers
- Key preferences: Sharp keys, flat keys, open-string friendly
- Modulation: None, gradual, sudden, frequent
- Scale choices: Natural minor, harmonic minor, pentatonic, modes
- Dissonance tolerance: Clean resolution, lingering tension
Melodic Contour
- Range: Wide intervals or narrow
- Movement: Stepwise, leaping, arpeggiated
- Phrase length: Short punchy or long flowing
- Repetition balance: Hooks vs. development
Example Phrases:
- "Minor key with Dorian 6th inflection"
- "Slow harmonic rhythm, one chord per 4 bars"
- "Wide interval leaps in vocal melody"
Dimension 3: Instrumental Techniques
Guitar Approaches
- Pickup selection: Bridge (bright), neck (warm), split
- Tone shaping: Treble-forward, mid-scoop, bass-heavy
- Technique: Fingerpicking, flatpicking, hybrid, percussive
- Tuning: Standard, drop D, open tunings, baritone
Effects Chain
- Distortion type: Overdrive, fuzz, high-gain, clean
- Time-based: Reverb (room, hall, plate), delay (analog, digital, tape)
- Modulation: Chorus, phaser, flanger, tremolo, vibrato
- Pitch: Octave, harmonizer, whammy
- Dynamics: Compression (heavy, light, none)
Other Instruments
- Keys/synth: Analog warmth, digital precision, organ, piano
- Percussion: Auxiliary (tambourine, shaker), world instruments
- Brass/strings: Section vs. solo, dry vs. lush
- Electronics: Samples, loops, glitches, synthesis
Example Phrases:
- "Neck pickup through mild tube overdrive"
- "Slap-back delay with plate reverb"
- "Fingerpicked acoustic with percussive body hits"
Dimension 4: Production Aesthetics
Spatial Characteristics
- Environment feel: Professional studio, live room, bedroom, outdoor
- Reverb treatment: Dry, intimate, expansive, cavernous
- Stereo field: Wide, narrow, mono-compatible
- Depth staging: Everything forward, layered front-to-back
Mix Philosophy
- Prominence hierarchy: Drums-first, vocal-forward, guitar-heavy
- Frequency allocation: Each instrument's spectral home
- Dynamic range: Compressed, dynamic, limiting
- Clarity vs. saturation: Pristine separation vs. glued warmth
Sonic Texture
- Signal path: Clean, saturated, distorted, degraded
- High frequency: Bright, airy, rolled-off, harsh
- Low end: Tight, boomy, sub-heavy, absent
- Midrange: Scooped, present, honky, balanced
Example Phrases:
- "Bedroom recording aesthetic with lo-fi saturation"
- "Drum-forward mix with tight low end"
- "Vintage tape warmth with rolled-off highs"
Dimension 5: Genre Fusion Analysis
Influence Mapping
- Primary foundation: The dominant genre base (60%+)
- Secondary elements: Strong secondary influence (20-30%)
- Tertiary accents: Occasional flavor (10% or less)
Integration Methods
- Temporal placement: Genre X in verses, genre Y in choruses
- Instrumental assignment: Drums from A, guitars from B
- Transition approach: Seamless blend vs. jarring contrast
- Era mixing: Vintage techniques + modern production
Innovation Points
- Boundary crossing: Where conventions are broken
- Novel combinations: Unexpected genre marriages
- Signature fusion: Their unique contribution
Example Phrases:
- "Math rock precision over post-punk foundation"
- "Hip-hop production sensibility applied to folk songwriting"
- "Grunge dynamics with shoegaze texture"
Dimension 6: Energy Architecture
Song Structure
- Intro character: Atmospheric, punchy, fade-in, cold start
- Verse energy: Pulled back, driving, building
- Chorus intensity: Lift, explosion, subtle shift
- Bridge/breakdown: Contrast, climax, reflection
- Outro approach: Fade, stop, resolve, evolve
Dynamic Range
- Intensity curves: Gradual build, sudden shifts, flat line
- Peak placement: Early, middle, late, multiple
- Release patterns: Sudden drop, gradual decay
Emotional Trajectory
- Mood arc: Single state, journey, oscillation
- Tension cycles: Build-release frequency
- Climax character: Cathartic, devastating, transcendent
Example Phrases:
- "Slow build across 4 minutes to explosive final chorus"
- "Sudden dynamic drops creating tension"
- "Verse-chorus contrast via density rather than volume"
Documentation Template
One-Sentence DNA
[Rhythmic approach] + [harmonic character] + [instrumental signature] + [production aesthetic]
Example:
"Syncopated post-punk drumming over minor modal progressions, angular clean guitar with chorus effect, dry room recording with bass-forward mix"
Detailed Breakdown
## Rhythmic Signature
- Time feel:
- Drum character:
- Bass approach:
- Syncopation style:
## Harmonic DNA
- Chord tendencies:
- Scale preferences:
- Progression patterns:
## Instrumental Character
- Guitar tone/technique:
- Effects signature:
- Other key instruments:
## Production Fingerprint
- Recording aesthetic:
- Mix characteristics:
- Sonic texture:
## Genre Fusion Map
- Primary foundation:
- Secondary elements:
- Innovation points:
## Energy Architecture
- Typical structure:
- Dynamic range:
- Build patterns:
Extractable Prompt Elements
List 5-10 standalone phrases usable in AI generation:
Ethical Guidelines
Do
- Combine elements from multiple analyses
- Focus on techniques and approaches
- Build reusable vocabulary
- Create novel fusions
Don't
- Copy complete profiles directly
- Replicate signature riffs/melodies
- Use as "sounds like [Artist]" substitute
- Claim to reproduce specific artists
Anti-Patterns
1. The Name Drop
Pattern: Using artist names as shorthand instead of technique descriptions. "Sounds like Radiohead" instead of describing the actual sonic qualities.
Why it fails: Defeats the entire purpose. Artist names are black boxes that convey different things to different people and may produce copyright issues in AI generation.
Fix: Never use artist names in final output. For every "sounds like X," unpack what that actually means in terms of rhythm, harmony, production, etc.
2. The Single Dimension
Pattern: Analyzing only one dimension (usually rhythm or production) while ignoring others. Producing incomplete profiles.
Why it fails: Musical identity emerges from interaction of all dimensions. A rhythmic profile without harmonic context is useless for generation.
Fix: Force yourself through all six dimensions. Even if an artist seems "about the guitar sound," their rhythmic choices matter.
3. The Genre Substitute
Pattern: Describing music by genre labels instead of techniques. "Post-punk" instead of describing what makes it post-punk.
Why it fails: Genre labels are contested categories, not techniques. AI systems need concrete instructions, not genre negotiations.
Fix: Treat genre labels as starting points requiring unpacking. What rhythmic, harmonic, and production choices define this genre for this artist?
4. The Representative Track Trap
Pattern: Analyzing one famous song and extrapolating to entire catalog. Missing range and evolution.
Why it fails: Artists vary. Their most famous song may not be representative. Analysis from one track produces narrow profiles.
Fix: Analyze 3-5 tracks from different periods and modes. Look for both constants and variations.
5. The Technical Overdose
Pattern: Including so much technical detail that prompts become unusable. Every possible parameter specified.
Why it fails: AI generation systems can't process unlimited context. Overly detailed prompts get truncated or confuse the model.
Fix: Distill to 5-10 essential phrases. Prioritize what makes this artist distinct rather than comprehensive.
Integration Points
Inbound:
- From listening to music you want to analyze
Outbound:
- To AI music generation prompts
- To
lyric-diagnostic for complete song analysis
Complementary:
lyric-diagnostic: Lyrical analysis (words)
- This skill: Musical analysis (sounds)
1---
2name: musical-dna
3description: Extract descriptive musical characteristics from any artist or band without using their name, building a vocabulary of sonic qualities for AI music generation, music description, or creative recombination.
4license: MIT
5metadata:
6 author: jwynia
7 version: "1.0"
8 type: utility
9 mode: evaluative
10 domain: music
11---
12
13# Musical DNA Analysis
14
15## Purpose
16
17Extract descriptive musical characteristics from any artist or band **without using their name**, building a vocabulary of sonic qualities for AI music generation, music description, or creative recombination. Replace "sounds like [Artist]" with specific, technique-focused descriptions.
18
19## Core Principle
20
21**How, not who.** Describe techniques, approaches, and sonic qualities rather than referencing artists. This enables:
22- Ethical AI music generation
23- Precise communication about sound
24- Creative recombination of elements
25- Genre-independent vocabulary
26
27## Quick Reference: Six Dimensions
28
29| Dimension | What to Analyze |
30|-----------|-----------------|
31| Rhythmic Foundation | Drums, tempo, bass lines, time signatures |
32| Harmonic Architecture | Chords, modes, progressions, melodies |
33| Instrumental Techniques | Playing styles, effects, timbres |
34| Production Aesthetics | Recording feel, mix, spatial treatment |
35| Genre Fusion | Influence integration, innovation points |
36| Energy Architecture | Song structure, dynamics, emotional trajectory |
37
38---
39
40## Analysis Process
41
42### Step 1: Select Representative Tracks
43Choose 3-5 tracks that capture:
44- Their most recognizable sound
45- Range across their catalog
46- Both typical and boundary-pushing examples
47
48### Step 2: Systematic Deconstruction
49Work through each dimension, focusing on specific techniques and approaches.
50
51### Step 3: Extract Prompt-Ready Phrases
52Convert observations into standalone descriptive phrases that work without artist context.
53
54---
55
56## Dimension 1: Rhythmic Foundation
57
58### Drum Character
59- **Kit composition**: Acoustic, electronic, hybrid, sampled
60- **Stick technique**: Brushes, rods, mallets, standard sticks
61- **Snare approach**: Rim shots, ghost notes, cross-stick, tight vs. ringy
62- **Kick pattern**: Four-on-floor, syncopated, polyrhythmic, sparse
63- **Hi-hat work**: Open/closed patterns, 16th note rides, swung
64- **Fill style**: Busy, minimal, tom-heavy, snare rolls
65
66### Time & Tempo
67- **Time signatures**: 4/4, 3/4, 6/8, odd meters (5/4, 7/8)
68- **Tempo range**: Locked BPM or flexible? Fast, mid, slow?
69- **Subdivision emphasis**: 8ths, 16ths, triplets, swung
70- **Polyrhythmic layering**: Multiple meters happening simultaneously
71
72### Bass Line DNA
73- **Technique**: Fingered, picked, slapped, synth, upright
74- **Role**: Rhythmic anchor vs. melodic counterpoint
75- **Range**: Sub-bass heavy, mid-focused, full range
76- **Kick relationship**: Locked, complementary, independent
77
78**Example Phrases:**
79- "Driving 8th-note hi-hat over syncopated kick"
80- "Slapped bass with muted ghost notes"
81- "Swung triplet feel at 95 BPM"
82
83---
84
85## Dimension 2: Harmonic Architecture
86
87### Chord Progressions
88- **Major/minor balance**: Predominantly one or mixed?
89- **Modal inflections**: Dorian darkness, Mixolydian brightness
90- **Chromatic movement**: Smooth voice leading, sudden shifts
91- **Chord density**: Triads, 7ths, extended (9ths, 11ths, 13ths)
92- **Harmonic rhythm**: Slow changes (1/bar) or rapid (2+/bar)
93
94### Tonal Centers
95- **Key preferences**: Sharp keys, flat keys, open-string friendly
96- **Modulation**: None, gradual, sudden, frequent
97- **Scale choices**: Natural minor, harmonic minor, pentatonic, modes
98- **Dissonance tolerance**: Clean resolution, lingering tension
99
100### Melodic Contour
101- **Range**: Wide intervals or narrow
102- **Movement**: Stepwise, leaping, arpeggiated
103- **Phrase length**: Short punchy or long flowing
104- **Repetition balance**: Hooks vs. development
105
106**Example Phrases:**
107- "Minor key with Dorian 6th inflection"
108- "Slow harmonic rhythm, one chord per 4 bars"
109- "Wide interval leaps in vocal melody"
110
111---
112
113## Dimension 3: Instrumental Techniques
114
115### Guitar Approaches
116- **Pickup selection**: Bridge (bright), neck (warm), split
117- **Tone shaping**: Treble-forward, mid-scoop, bass-heavy
118- **Technique**: Fingerpicking, flatpicking, hybrid, percussive
119- **Tuning**: Standard, drop D, open tunings, baritone
120
121### Effects Chain
122- **Distortion type**: Overdrive, fuzz, high-gain, clean
123- **Time-based**: Reverb (room, hall, plate), delay (analog, digital, tape)
124- **Modulation**: Chorus, phaser, flanger, tremolo, vibrato
125- **Pitch**: Octave, harmonizer, whammy
126- **Dynamics**: Compression (heavy, light, none)
127
128### Other Instruments
129- **Keys/synth**: Analog warmth, digital precision, organ, piano
130- **Percussion**: Auxiliary (tambourine, shaker), world instruments
131- **Brass/strings**: Section vs. solo, dry vs. lush
132- **Electronics**: Samples, loops, glitches, synthesis
133
134**Example Phrases:**
135- "Neck pickup through mild tube overdrive"
136- "Slap-back delay with plate reverb"
137- "Fingerpicked acoustic with percussive body hits"
138
139---
140
141## Dimension 4: Production Aesthetics
142
143### Spatial Characteristics
144- **Environment feel**: Professional studio, live room, bedroom, outdoor
145- **Reverb treatment**: Dry, intimate, expansive, cavernous
146- **Stereo field**: Wide, narrow, mono-compatible
147- **Depth staging**: Everything forward, layered front-to-back
148
149### Mix Philosophy
150- **Prominence hierarchy**: Drums-first, vocal-forward, guitar-heavy
151- **Frequency allocation**: Each instrument's spectral home
152- **Dynamic range**: Compressed, dynamic, limiting
153- **Clarity vs. saturation**: Pristine separation vs. glued warmth
154
155### Sonic Texture
156- **Signal path**: Clean, saturated, distorted, degraded
157- **High frequency**: Bright, airy, rolled-off, harsh
158- **Low end**: Tight, boomy, sub-heavy, absent
159- **Midrange**: Scooped, present, honky, balanced
160
161**Example Phrases:**
162- "Bedroom recording aesthetic with lo-fi saturation"
163- "Drum-forward mix with tight low end"
164- "Vintage tape warmth with rolled-off highs"
165
166---
167
168## Dimension 5: Genre Fusion Analysis
169
170### Influence Mapping
171- **Primary foundation**: The dominant genre base (60%+)
172- **Secondary elements**: Strong secondary influence (20-30%)
173- **Tertiary accents**: Occasional flavor (10% or less)
174
175### Integration Methods
176- **Temporal placement**: Genre X in verses, genre Y in choruses
177- **Instrumental assignment**: Drums from A, guitars from B
178- **Transition approach**: Seamless blend vs. jarring contrast
179- **Era mixing**: Vintage techniques + modern production
180
181### Innovation Points
182- **Boundary crossing**: Where conventions are broken
183- **Novel combinations**: Unexpected genre marriages
184- **Signature fusion**: Their unique contribution
185
186**Example Phrases:**
187- "Math rock precision over post-punk foundation"
188- "Hip-hop production sensibility applied to folk songwriting"
189- "Grunge dynamics with shoegaze texture"
190
191---
192
193## Dimension 6: Energy Architecture
194
195### Song Structure
196- **Intro character**: Atmospheric, punchy, fade-in, cold start
197- **Verse energy**: Pulled back, driving, building
198- **Chorus intensity**: Lift, explosion, subtle shift
199- **Bridge/breakdown**: Contrast, climax, reflection
200- **Outro approach**: Fade, stop, resolve, evolve
201
202### Dynamic Range
203- **Intensity curves**: Gradual build, sudden shifts, flat line
204- **Peak placement**: Early, middle, late, multiple
205- **Release patterns**: Sudden drop, gradual decay
206
207### Emotional Trajectory
208- **Mood arc**: Single state, journey, oscillation
209- **Tension cycles**: Build-release frequency
210- **Climax character**: Cathartic, devastating, transcendent
211
212**Example Phrases:**
213- "Slow build across 4 minutes to explosive final chorus"
214- "Sudden dynamic drops creating tension"
215- "Verse-chorus contrast via density rather than volume"
216
217---
218
219## Documentation Template
220
221### One-Sentence DNA
222```
223[Rhythmic approach] + [harmonic character] + [instrumental signature] + [production aesthetic]
224```
225
226**Example:**
227"Syncopated post-punk drumming over minor modal progressions, angular clean guitar with chorus effect, dry room recording with bass-forward mix"
228
229### Detailed Breakdown
230
231```markdown
232## Rhythmic Signature
233- Time feel:
234- Drum character:
235- Bass approach:
236- Syncopation style:
237
238## Harmonic DNA
239- Chord tendencies:
240- Scale preferences:
241- Progression patterns:
242
243## Instrumental Character
244- Guitar tone/technique:
245- Effects signature:
246- Other key instruments:
247
248## Production Fingerprint
249- Recording aesthetic:
250- Mix characteristics:
251- Sonic texture:
252
253## Genre Fusion Map
254- Primary foundation:
255- Secondary elements:
256- Innovation points:
257
258## Energy Architecture
259- Typical structure:
260- Dynamic range:
261- Build patterns:
262```
263
264### Extractable Prompt Elements
265List 5-10 standalone phrases usable in AI generation:
266- "..."
267- "..."
268
269---
270
271## Ethical Guidelines
272
273### Do
274- Combine elements from multiple analyses
275- Focus on techniques and approaches
276- Build reusable vocabulary
277- Create novel fusions
278
279### Don't
280- Copy complete profiles directly
281- Replicate signature riffs/melodies
282- Use as "sounds like [Artist]" substitute
283- Claim to reproduce specific artists
284
285---
286
287## Anti-Patterns
288
289### 1. The Name Drop
290**Pattern:** Using artist names as shorthand instead of technique descriptions. "Sounds like Radiohead" instead of describing the actual sonic qualities.
291**Why it fails:** Defeats the entire purpose. Artist names are black boxes that convey different things to different people and may produce copyright issues in AI generation.
292**Fix:** Never use artist names in final output. For every "sounds like X," unpack what that actually means in terms of rhythm, harmony, production, etc.
293
294### 2. The Single Dimension
295**Pattern:** Analyzing only one dimension (usually rhythm or production) while ignoring others. Producing incomplete profiles.
296**Why it fails:** Musical identity emerges from interaction of all dimensions. A rhythmic profile without harmonic context is useless for generation.
297**Fix:** Force yourself through all six dimensions. Even if an artist seems "about the guitar sound," their rhythmic choices matter.
298
299### 3. The Genre Substitute
300**Pattern:** Describing music by genre labels instead of techniques. "Post-punk" instead of describing what makes it post-punk.
301**Why it fails:** Genre labels are contested categories, not techniques. AI systems need concrete instructions, not genre negotiations.
302**Fix:** Treat genre labels as starting points requiring unpacking. What rhythmic, harmonic, and production choices define this genre for this artist?
303
304### 4. The Representative Track Trap
305**Pattern:** Analyzing one famous song and extrapolating to entire catalog. Missing range and evolution.
306**Why it fails:** Artists vary. Their most famous song may not be representative. Analysis from one track produces narrow profiles.
307**Fix:** Analyze 3-5 tracks from different periods and modes. Look for both constants and variations.
308
309### 5. The Technical Overdose
310**Pattern:** Including so much technical detail that prompts become unusable. Every possible parameter specified.
311**Why it fails:** AI generation systems can't process unlimited context. Overly detailed prompts get truncated or confuse the model.
312**Fix:** Distill to 5-10 essential phrases. Prioritize what makes this artist distinct rather than comprehensive.
313
314## Integration Points
315
316**Inbound:**
317- From listening to music you want to analyze
318
319**Outbound:**
320- To AI music generation prompts
321- To `lyric-diagnostic` for complete song analysis
322
323**Complementary:**
324- `lyric-diagnostic`: Lyrical analysis (words)
325- This skill: Musical analysis (sounds)